33 post-doc-image-engineering-computer-vision research jobs at University of Adelaide
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Job no:516885 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology Level A $102,024 to $109,307 per annum plus an employer
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Job no:516746 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $78,544 - $105,611 per annum plus an employer
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energy conversion reactions. This position is for a computational materials scientist/engineer to perform theoretical investigations and computational design of carbon-based materials for seawater
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Job no:516542 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $98,574 - $105,611 per annum plus an employer
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term, appointment to commence as soon as possible. The specific topic area of this post is relating to the development of optical coherence tomography (OCT) and fibre-based optical imaging technologies
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Job no:517147 Work type:Fixed term - Full-time Campus:Adelaide Categories:Faculty of Sciences, Engineering and Technology (Level B) $114,917 - $135,932 per annum plus an employer contribution of up
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the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. This position will work with our partners Praetorian Aeronautics and their testing team
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computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
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more than 200 members including academics, research staff, engineers and students. The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine
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Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students